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Factors Influencing Injury Severity to Highway Workers in Work Zone Intrusion Accidents

机译:影响工作区入侵事故中公路工人伤害严重程度的因素

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Objective: Highway workers in work zones are in close proximity to traveling vehicles, exposing them to injury risks when vehicles intrude into the work zone. The purpose of this research was to perform an analysis of injuries endured by highway workers due to intrusion accidents and to identify factors that would have a significant effect on injury severity. Methods: Ten years of California work zone injury data were collected and analyzed. The data were first used to determine trends in work zone injury. Statistical models were also created to evaluate variables influencing injury severity. Statistical models included multiple correspondence analysis, Cox proportional hazard regression, logistic regression, and Poisson regression. Results: Statistical analysis of California injury data identified the 4 variables of accident/work zone location, work zone duration, time of day, and type of activity performed by the worker as having the most significant impact on injury severity. The results show that locations such as those on freeways/highways and stationary lane closures result in more severe injuries than work zones on city streets. Short-term stationary and short-duration work zones had increased odds of nonminor injuries compared to mobile work zones. For the time of day, the results indicate that the odds of more serious injuries are higher during nonpeak hours than during peak rush hours. Finally, workers on foot have greater odds of experiencing a more severe injury versus workers inside vehicles. Conclusion: This research has shown that considering the effects of work zone location, duration, time of day, and worker activity can have the most significant impact on risk of injury to workers. Understanding these factors can provide a basis for planning and design of work zones to improve worker safety.
机译:目标:工作区内的公路工人与行驶中的车辆非常接近,使他们在车辆进入工作区时面临受伤危险。这项研究的目的是对高速公路工人因闯入事故造成的伤害进行分析,并确定可能对伤害严重性产生重大影响的因素。方法:收集并分析了十年来加州工作区的受伤数据。数据首先用于确定工作区伤害的趋势。还创建了统计模型来评估影响伤害严重程度的变量。统计模型包括多重对应分析,Cox比例风险回归,逻辑回归和泊松回归。结果:对加利福尼亚州伤害数据的统计分析确定了事故/工作区位置,工作区持续时间,一天中的时间和工人执行的活动类型这4个变量,它们对伤害的严重程度影响最大。结果表明,与城市街道上的工作区相比,高速公路/高速公路上的这些位置和固定的车道封闭造成的伤害更严重。与移动工作区相比,短期固定和短时工作区非轻伤的几率增加。对于一天中的时间,结果表明,在非高峰时段比高峰高峰时段受伤更为严重的几率更高。最后,与车辆内的工人相比,步行的工人遭受更严重伤害的几率更大。结论:这项研究表明,考虑工作区位置,持续时间,一天中的时间和工人活动的影响对工人受伤风险的影响最大。了解这些因素可以为工作区的规划和设计提供基础,以提高工人的安全性。

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